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AI
2009
Springer
14 years 2 months ago
Context Dependent Movie Recommendations Using a Hierarchical Bayesian Model
Abstract. We use a hierarchical Bayesian approach to model user preferences in different contexts or settings. Unlike many previous recommenders, our approach is content-based. We...
Daniel Pomerantz, Gregory Dudek
IJPP
2002
107views more  IJPP 2002»
13 years 7 months ago
Efficiently Adapting Java Binaries in Limited Memory Contexts
This paper presents a compilation framework that allows executable code to be shared across different Java Virtual Machine (JVM) instances. All fully compliant JVMs that target se...
Pramod G. Joisha, Samuel P. Midkiff, Mauricio J. S...
CVPR
2007
IEEE
14 years 9 months ago
Robust Click-Point Linking: Matching Visually Dissimilar Local Regions
This paper presents robust click-point linking: a novel localized registration framework that allows users to interactively prescribe where the accuracy has to be high. By emphasi...
Kazunori Okada, Xiaolei Huang
VLDB
2003
ACM
125views Database» more  VLDB 2003»
14 years 8 months ago
THESUS: Organizing Web document collections based on link semantics
Abstract. The requirements for effective search and management of the WWW are stronger than ever. Currently Web documents are classified based on their content not taking into acco...
Maria Halkidi, Benjamin Nguyen, Iraklis Varlamis, ...
MT
2002
118views more  MT 2002»
13 years 7 months ago
Principles of Context-Based Machine Translation Evaluation
This article defines a Framework for Machine Translation Evaluation (FEMTI) which relates the quality model used to evaluate a machine translation system to the purpose and context...
Eduard H. Hovy, Margaret King, Andrei Popescu-Beli...